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Machine Learning Approaches in Cyber Security Analytics Thomas 1st ed. 2020 edition
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Machine Learning Approaches in Cyber Security Analytics
Thomas
This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts.
209 pages, 43 Illustrations, color; 33 Illustrations, black and white; XI, 209 p. 76 illus., 43 illu
| Mediji | Grāmatas Book |
| Izlaists | 2020. gada 2. janvāris |
| ISBN13 | 9789811517051 |
| Izdevēji | Springer Verlag, Singapore |
| Lapas | 209 |
| Izmēri | 150 × 220 × 20 mm · 547 g |
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